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RoughGlue is a Real-time data processing Gateway Service utilizing Geo-enabled Machine learning integration frameworks.

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RoughGlue

RoughGlue is a Real-time data processing Gateway Service utilizing Geo-enabled Machine learning integration frameworks.

RoughGlue is aimed at developers who need a straightforward, dependable solution.

Highlights

  • RoughGlue is a Real-time data
  • processing Gateway Service utilizing Geo-enabled
  • Machine learning integration frameworks

Key Features

  • RoughGlue is a Real-time data
  • processing Gateway Service utilizing Geo-enabled
  • Machine learning integration frameworks

Technology Stack

  • python
  • python framework (Flask/Django/FastAPI or equivalent)
  • Pytest for testing

Installation

  1. Clone the repository: git clone https://github.com/innayakendya/RoughGlue.git
  2. cd RoughGlue
  3. Install in editable mode: pip install -e .

Configuration

RoughGlue is configured through environment variables (see .env.example). Key options:

  • APP_ENV: development or production.
  • PORT: Port the server listens on.
  • LOG_LEVEL: debug, info, or error.

Contributing

Pull requests and issue reports are both welcome. Please read the existing code style before submitting.

License

Released under the MIT License — see the LICENSE file.

About

RoughGlue is a Real-time data processing Gateway Service utilizing Geo-enabled Machine learning integration frameworks.

Resources

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115 stars

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0 watching

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